Attribute-based structural damage identification by few-shot meta learning with inter-class knowledge transfer

Automatic seismic damage identification of reinforced concrete columns from images by a region-based deep convolutional neural network

(2019) Yang Xu et al.   Structural Control & Health Monitoring

Advances in Computer Vision-Based Civil Infrastructure Inspection and Monitoring

(2019) Billie F. Spencer et al.   Engineering

The State of the Art of Data Science and Engineering in Structural Health Monitoring

(2019) Yuequan Bao et al.   Engineering

Deep learning for data anomaly detection and data compression of a long‐span suspension bridge

(2019) FuTao Ni et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Vision-Based Fatigue Crack Detection of Steel Structures Using Video Feature Tracking

(2018) Xiangxiong Kong et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Visual data classification in post-event building reconnaissance

(2018) Chul Min Yeum et al.   ENGINEERING STRUCTURES

NB-CNN: Deep Learning-Based Crack Detection Using Convolutional Neural Network and Naïve Bayes Data Fusion

(2018) Fu-Chen Chen et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Zero-Shot Learning - A Comprehensive Evaluation of the Good, the Bad and the Ugly

(2018) Yongqin Xian et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Surface fatigue crack identification in steel box girder of bridges by a deep fusion convolutional neural network based on consumer-grade camera images

(2018) Yang Xu et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Deep learning based image recognition for crack and leakage defects of metro shield tunnel

(2018) Hong-wei Huang et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Automated Vision-Based Detection of Cracks on Concrete Surfaces Using a Deep Learning Technique

(2018) Byunghyun Kim et al.   SENSORS

Pixel-level crack delineation in images with convolutional feature fusion

(2018) FuTao Ni et al.   Structural Control & Health Monitoring

Identification framework for cracks on a steel structure surface by a restricted Boltzmann machines algorithm based on consumer-grade camera images

(2017) Yang Xu et al.   Structural Control & Health Monitoring

Evaluation of deep learning approaches based on convolutional neural networks for corrosion detection

(2017) Deegan J Atha et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Concrete Crack Assessment Using Digital Image Processing and 3D Scene Reconstruction

(2016) Yu-Fei Liu et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

Dynamic Imaging: Real-Time Detection of Local Structural Damage with Blind Separation of Low-Rank Background and Sparse Innovation

(2016) Yongchao Yang et al.   JOURNAL OF STRUCTURAL ENGINEERING

Modeling and harnessing sparse and low-rank data structure: a new paradigm for structural dynamics, identification, damage detection, and health monitoring

(2016) Satish Nagarajaiah et al.   Structural Control & Health Monitoring

Vision-based quantitative assessment of microcracks on reactor internal components of nuclear power plants

(2016) Mohammad R. Jahanshahi et al.   Structure and Infrastructure Engineering

Dynamic Imaging: Real-Time Detection of Local Structural Damage with Blind Separation of Low-Rank Background and Sparse Innovation

(2016) Yongchao Yang et al.   JOURNAL OF STRUCTURAL ENGINEERING

A Review of Machine Vision-Based Structural Health Monitoring: Methodologies and Applications

(2016) X. W. Ye et al.   Journal of Sensors

A review on computer vision based defect detection and condition assessment of concrete and asphalt civil infrastructure

(2015) Christian Koch et al.   ADVANCED ENGINEERING INFORMATICS

Vision-Based Automated Crack Detection for Bridge Inspection

(2015) Chul Min Yeum et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Rapid and automated determination of rusted surface areas of a steel bridge for robotic maintenance systems

(2014) Hyojoo Son et al.   AUTOMATION IN CONSTRUCTION

Visual change detection on tunnel linings

(2014) Simon Stent et al.   MACHINE VISION AND APPLICATIONS

Automated steel bridge coating rust defect recognition method based on color and texture feature

(2013) Heng-Kuang Shen et al.   AUTOMATION IN CONSTRUCTION

A new methodology for non-contact accurate crack width measurement through photogrammetry for automated structural safety evaluation

(2013) Mohammad R Jahanshahi et al.   Smart Materials and Structures

Automatic Road Crack Detection and Characterization

(2012) Henrique Oliveira et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Multiresolution Information Mining for Pavement Crack Image Analysis

(2012) Y. O. Adu-Gyamfi et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

An innovative methodology for detection and quantification of cracks through incorporation of depth perception

(2011) Mohammad R. Jahanshahi et al.   MACHINE VISION AND APPLICATIONS

Automated image processing technique for detecting and analysing concrete surface cracks

(2011) Bang Yeon Lee et al.   Structure and Infrastructure Engineering

Learning author-topic models from text corpora

(2010) Michal Rosen-Zvi et al.   ACM TRANSACTIONS ON INFORMATION SYSTEMS

Fast crack detection method for large-size concrete surface images using percolation-based image processing

(2009) Tomoyuki Yamaguchi et al.   MACHINE VISION AND APPLICATIONS

Efficient Multiclass ROC Approximation by Decomposition via Confusion Matrix Perturbation Analysis

(2008) T.C.W. Landgrebe et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

A survey and evaluation of promising approaches for automatic image-based defect detection of bridge structures

(2008) Mohammad R. Jahanshahi et al.   Structure and Infrastructure Engineering